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A linear programming optimization model for optimal operation strategy design and sizing of the CCHP systems

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Abstract

Combined cooling, heat, and power (CCHP) system offers numerous potential advantages for the supply of energy to residential buildings in the sense of improved energy efficiency and reduced environmental burdens. To realize the potential for being more beneficial, however, such systems must reduce total costs relative to conventional systems. In this study, a linear programming optimization model was presented for optimum planning and sizing of CCHP systems. The purpose of the model is to give the design of the CCHP system by considering electrical chiller and absorption chiller simultaneously in economic viewpoint. A numerical study was conducted in Tehran to evaluate the CCHP system model. The linear programming (LP) model determines the optimal sizes of the CCHP equipment by considering capital cost of the system. It showed that by considering electricity buyback, the optimum size of the electrical chiller decrease and the optimum size of the combined heat and power (CHP) unit and the absorption chiller increase dramatically with respect to without electricity buyback. Also, the LP model determines the optimal operation strategy of the system by neglecting capital cost. The optimally operated CCHP system encompassing electrical and absorption chiller could result in an 18% decrease in operating cost when compared to a CHP system encompassing electrical chiller only. Without electricity buyback, the profitability of CCHP was 23%, while with electricity buyback, profitability became 39%. Furthermore, a sensitivity analysis was conducted to show how the important parameters affect the entire system performance.

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Authors and Affiliations

  1. Department of Energy Engineering, Sharif University of Technology, Tehran, Iran

    Yaser Kialashaki

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  1. Yaser Kialashaki
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Correspondence to Yaser Kialashaki.

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Kialashaki, Y. A linear programming optimization model for optimal operation strategy design and sizing of the CCHP systems. Energy Efficiency 11, 225–238 (2018). https://doi.org/10.1007/s12053-017-9560-1

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  • DOI: https://doi.org/10.1007/s12053-017-9560-1

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